Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
A Snapshot of your day
Your day involves designing, building, and operating intelligent systems that monitor, diagnose, and optimize enterprise data pipelines, with a focus on energy operations and power plant environments such as Combined Cycle Power Plants (CCPPs). You leverage AI engineering expertise and a reliability mindset to ensure high-quality, trusted data at scale while using GenAI technologies to enhance productivity, documentation quality, and knowledge accessibility across various teams, all while maintaining safety, compliance, and engineering integrity.
How You’ll Make an Impact
What You Bring
·Technical & Analytical Skills:Proficient in Python, machine learning tools, data architecture, and visualization (dashboards, analytical storytelling); skilled in integrating and analyzing data from multiple operational and enterprise sources.
·Reliability & Engineering Knowledge:Comprehensive understanding of energy generation systems, equipment types, failure mechanisms, degradation processes, RCM principles, reliability indicators, and criticality assessments.
·Asset & Maintenance Management: Expertise in asset management workflows, maintenance planning, cost structures, inventory management, and their impact on production and energy markets.
·Business & Collaboration Skills:Strong ability to collaborate with O&M teams, asset owners, and reliability experts while translating technical insights into business value with excellent communication skills.
·Education & Industry Experience: Degree in Data Science, Engineering, Computer Science, or related fields, with preference for experience in energy, utilities, or asset-intensive industries.
·Tools & Technologies:Skilled in Python, machine learning frameworks, data visualization tools, on premises/cloud data platforms, APM systems, and SharePoint for knowledge management.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits
https://jobs.siemens-energy.com/jobs
#LI-JT1
You'll no longer be considered for this role and your application will be removed from the employer's inbox.